1,039 research outputs found
The effect of horizontal pay dispersion on the effectiveness of performance-based incentives
In response to general calls for increased transparency in society, pay transparency
policies are growing in importance. Given that pay transparency unavoidably gives employees the
opportunity to make comparisons between themselves and others, in this study we address the
question of how these comparisons impact the incentive effects of performance contingent pay,
and consequently their performance outcomes. Specifically, we empirically examine whether
horizontal pay dispersion alters the effectiveness of performance-based pay contracts, which firms
typically use to incentivize effort. Exploiting our unique access to a large healthcare provider, we
document the moderating role of horizontal pay dispersion on the effectiveness of individual
monetary incentives at generating increased individual performance. To provide a more nuanced
understanding of the moderating effect of pay dispersion, we further examine the boundary
conditions of the proposed interaction. In particular, we examine the differential effect of overall
pay dispersion on employees that rank high versus low in the pay distribution and disaggregate
overall pay dispersion into performance-related versus performance-unrelated pay dispersion. Our
findings consistently show a positive moderating effect of pay dispersion when employees are
more likely to consider the observed pay dispersion as legitimate, and a negative moderation effect
when this is less likely the case. Our study strengthens the understanding of how individual level
incentives function in the context of a multi-person firm setting. Our results document that
individual incentives are effective, but also suggest that pay dispersion can have a significant
influence on the incentive-performance relation. These findings provide some evidence that
individuals are concerned not only with their own payout, but also with that of others, and that this
concern has a significant impact on individual’s effort provision, and consequently performance.Series: Department of Strategy and Innovation Working Paper Serie
The impact of 5-hydroxytryptamine-receptor antagonists on chemotherapy treatment adherence, treatment delay, and nausea and vomiting.
PurposeTo determine the incidence of chemotherapy-induced nausea/vomiting (CINV) and chemotherapy treatment delay and adherence among patients receiving palonosetron versus other 5-hydroxytryptamine receptor antagonist (5-HT3 RA) antiemetics.Materials and methodsThis retrospective claims analysis included adults with primary malignancies who initiated treatment consisting of single-day intravenous highly emetogenic chemotherapy (HEC) or moderately EC (MEC) regimens. Treatment delay was defined as a gap in treatment at least twice the National Comprehensive Cancer Network-specified cycle length, specific to each chemotherapy regimen. Treatment adherence was determined by the percentage of patients who received the regimen-specific recommended number of chemotherapy cycles within the recommended time frame.ResultsWe identified 1,832 palonosetron and 2,387 other 5-HT3 RA ("other") patients who initiated HEC therapy, and 1,350 palonosetron users and 1,379 patients on other antiemetics who initiated MEC therapy. Fewer patients receiving palonosetron experienced CINV versus other (HEC, 27.5% versus 32.2%, P=0.0011; MEC, 36.1% versus 41.7%, P=0.0026), and fewer treatment delays occurred among patients receiving palonosetron versus other (HEC, 3.2% versus 6.0%, P<0.0001; MEC, 17.0% versus 26.8%, P<0.0001). Compared with the other cohort, patients receiving palonosetron were significantly more adherent to the index chemotherapy regimen with respect to the recommended time frame (HEC, 74.7% versus 69.7%, P=0.0004; MEC, 43.1% versus 37.3%, P=0.0019) and dosage (HEC, 27.3% versus 25.8%, P=0.0004; MEC, 15.0% versus 12.6%, P=0.0019).ConclusionPalonosetron more effectively reduced occurrence of CINV in patients receiving HEC or MEC compared with other agents in this real-world setting. Additionally, patients receiving palonosetron had better adherence and fewer treatment delays than patients receiving other 5-HT3 RAs
Asymptotic formula for the moments of Minkowski question mark function in the interval [0,1]
In this paper we prove the asymptotic formula for the moments of Minkowski
question mark function, which describes the distribution of rationals in the
Farey tree. The main idea is to demonstrate that certain a variation of a
Laplace method is applicable in this problem, hence the task reduces to a
number of technical calculations.Comment: 11 pages, 1 figure (final version). Lithuanian Math. J. (to appear
Visual on-line learning in distributed camera networks
Automatic detection of persons is an important application in visual surveillance. In general, state-of-the-art systems have two main disadvantages: First, usually a general detector has to be learned that is applicable to a wide range of scenes. Thus, the training is time-consuming and requires a huge amount of labeled data. Second, the data is usually processed centralized, which leads to a huge network traffic. Thus, the goal of this paper is to overcome these problems, which is realized by a person detection system, that is based on distributed smart cameras (DSCs). Assuming that we have a large number of cameras with partly overlapping views, the main idea is to reduce the model complexity of the detector by training a specific detector for each camera. These detectors are initialized by a pre-trained classifier, that is then adapted for a specific camera by co-training. In particular, for co-training we apply an on-line learning method (i.e., boosting for feature selection), where the information exchange is realized via mapping the overlapping views onto each other by using a homography. Thus, we have a compact scenedependent representation, which allows to train and to evaluate the classifiers on an embedded device. Moreover, since the information transfer is reduced to exchanging positions the required network-traffic is minimal. The power of the approach is demonstrated in various experiments on different publicly available data sets. In fact, we show that on-line learning and applying DSCs can benefit from each other. Index Terms — visual on-line learning, object detection, multi-camera networks 1
The influence of moisture content variation on the withdrawal capacity of self-tapping screws
Due to high axial load-bearing capacity and economical application without pre-drilling, self-tapping
screws are widely used in modern timber constructions nowadays. Their withdrawal behaviour, as
one mechanism to be verified according to EN 1995-1-1 (2004), is discernibly influenced by the
timber member and its moisture content. In case of increase of moisture content above 12 %, test
results indicate a significant decrease in withdrawal capacity, which is actually not considered in
design procedure. In our paper, we thus concentrate on these experimental studies, carried out in
the frame of two research projects. Furthermore, we discuss two models developed for design
procedure as well as for data assessment covering a large bandwidth of moisture content and compare them with results from previous investigations
Testosterone Amplifies the Negative Valence of an Agonistic Gestural Display by Exploiting Receiver Perceptual Bias
Many animals communicate by performing elaborate displays that are incredibly extravagant and wildly bizarre. So, how do these displays evolve? One idea is that innate sensory biases arbitrarily favour the emergence of certain display traits over others, leading to the design of an unusual display. Here, we study how physiological factors associated with signal production influence this process, a topic that has received almost no attention. We focus on a tropical frog, whose males compete for access to females by performing an elaborate waving display. Our results show that sex hormones like testosterone regulate specific display gestures that exploit a highly conserved perceptual system, evolved originally to detect \u27dangerous\u27 stimuli in the environment. Accordingly, testosterone makes certain gestures likely to appear more perilous to rivals during combat. This suggests that hormone action can interact with effects of sensory bias to create an evolutionary optimum that guides how display exaggeration unfolds
Existence of a Meromorphic Extension of Spectral Zeta Functions on Fractals
We investigate the existence of the meromorphic extension of the spectral
zeta function of the Laplacian on self-similar fractals using the classical
results of Kigami and Lapidus (based on the renewal theory) and new results of
Hambly and Kajino based on the heat kernel estimates and other probabilistic
techniques. We also formulate conjectures which hold true in the examples that
have been analyzed in the existing literature
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